Case Study · Automotive AI Platform

Vehicle Delivery Intelligence Platform

AI-powered vehicle delivery operations platform for document intelligence, OCR-ready processing, delivery risk detection, workflow routing and executive visibility across automotive handover processes.

Platform Snapshot

Use Case

Vehicle handover operations

Intelligence Layer

OpenAI-based risk analysis

Document Layer

PDF extraction + OCR-ready intake

Interface

Streamlit control tower

Backend

FastAPI + SQLite prototype

Scope

End-to-end workflow

Email intake, PDF upload, AI analysis, risk scoring, vehicle file view and management dashboard.

Document AI

OCR-ready

Delivery confirmations, leasing protocols and registration files can be extracted and analyzed.

Risk Detection

Critical handovers

The system identifies missing documents, checklist mismatches and customer handover blockers.

Interface

Control Tower

Operational dashboard for delivery coordination, risk management and executive visibility.

Business Problem

Vehicle handovers depend on workshop checklists, delivery confirmations, leasing protocols, registration documents and driver uploads. Missing or inconsistent documents can block customer deliveries.

AI Challenge

Operational information is spread across emails, PDFs, scanned documents and manual notes. Teams need structured risk detection before the handover fails.

Platform Solution

The platform converts emails and documents into AI-analyzed delivery cases with priority, workflow status, routing team, business risk and required actions.

Solution Overview

From document-heavy delivery workflows to AI-supported operations

The solution was designed as an automotive operations showcase: PDF and email intake, OCR-ready document processing, AI-based case analysis, risk scoring, routing recommendations, vehicle file visibility and management dashboards.

Architecture Flow

Document intake to delivery risk decision

Email / PDF

OCR Extraction

AI Analysis

Risk Scoring

Routing

Control Tower

Reporting

Architecture & Screenshots

Platform components and implementation evidence

Open fullscreen

Control Tower Overview

Live operational view of active delivery cases, document gaps, workflow status and critical vehicle handover risks.

Open fullscreen

Vehicle Case Analysis

AI-generated operational assessment with priority, urgency, customer risk, SLA, routing and recommended actions.

Open fullscreen

Document Intake & OCR

PDF document upload, text extraction and OCR-ready processing for delivery confirmations and leasing protocols.

Open fullscreen

Email Intake Analysis

Operational emails from backoffice, drivers or registration services are converted into structured vehicle delivery cases.

Open fullscreen

Vehicle Operations Dashboard

Central workspace for delivery coordination teams to filter, manage and resolve active handover cases.

Open fullscreen

Delivery Risk Management

Dedicated risk view for blocked handovers, missing documents and escalation cases.

Open fullscreen

Executive Dashboard

Management-level analytics for priority distribution, workflow categories, routing teams and workload.

Platform Stack

AI workflow prototype with deployment foundations

Document intake for delivery confirmations, leasing protocols and registration files

OCR-ready extraction for scanned PDFs and image-based vehicle documents

AI-powered risk classification and operational case creation

Vehicle file view with FIN, license plate, customer handover and routing team

Workflow status across disposition, workshop, driver, backoffice and coordination

Delivery risk dashboard for blocked handovers and escalation cases

Executive dashboard for priority distribution, workload and operational transparency

Email intake for converting backoffice or driver messages into structured cases

Extensible architecture for Docker, PostgreSQL and customer-grade deployment

Operational Lifecycle

Controlled movement from intake to resolution

Intake

Operational emails, PDF documents or manual case notes enter the platform.

Extract

Digital PDF text extraction and OCR-ready processing prepare document content.

Analyze

AI classifies priority, risk, SLA urgency, category and routing team.

Coordinate

Teams use the control tower to resolve blocked handovers and document gaps.

Selected Code Highlights

Implementation excerpts

FastAPI case analysis endpoint

The API receives operational text or extracted document content and returns a structured delivery case.

@app.post("/analyze")
def analyze_message(request: MessageRequest):
    analysis = analyze_operational_message(request.text)
    record = create_analysis({
        "input_text": request.text,
        **analysis,
        "source": "manual",
    })
    return record

OCR-ready document extraction

PDFs can be processed through digital text extraction or OCR for scanned documents.

def extract_document_text(uploaded_file):
    if suffix == ".pdf":
        digital_text = extract_pdf_text(uploaded_file)

        if digital_text:
            return digital_text, "Digital PDF"

        return extract_text_from_pdf(tmp_path), "OCR scanned PDF"

AI output structure

The AI returns business-oriented fields for operational teams and dashboards.

{
  "priority": "CRITICAL",
  "category": "REGISTRATION_PENDING",
  "risk": "Customer handover blocked",
  "routing_team": "Registration Service",
  "recommended_action": "Obtain missing protocol"
}

Business Value

Why this matters beyond the demo

Reduces manual document checks in vehicle delivery processes.

Detects missing leasing protocols, driver uploads and registration issues earlier.

Improves customer handover readiness before appointments are affected.

Creates operational visibility across workshop, backoffice and delivery coordination.

Technologies

Implemented stack

PythonFastAPIStreamlitOpenAI APITesseract OCRPDF ProcessingSQLiteREST APIsGitLab

Automotive AI · Document Intelligence · Operations

Need an AI workflow system for document-heavy operations?

View Operational Inbox View MLOps Case Contact MSC Intelligent Systems